Chin-Chia Michael Yeh
Signal Processing · 2016–2018
A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Signal Processing — 9 citations into it; #7,540 of 7,572 by trust here, #3,198 by citations
- Economics and Econometrics — 6 citations into it
Whom Chin-Chia Michael Yeh trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Chin-Chia Michael Yeh overall
Papers from Chin-Chia Michael Yeh's perspective
Ordered by how strongly the researchers Chin-Chia Michael Yeh trusts endorse each paper. Same corpus, a different order for every researcher.
- On the Need for Time Series Data Mining Benchmarks: A Survey and Empirical Demonstration
- Querying and mining of time series data: experimental comparison of representations and distance measures (Proceedings of the VLDB Endowment)
- Dimensionality Reduction for Fast Similarity Search in Large Time Series Databases
- AMPds: A public dataset for load disaggregation and eco-feedback research (2013 IEEE Electrical Power & Energy Conference)
- Individual Comparisons by Ranking Methods
- Should We Really Use Post-Hoc Tests Based on Mean-Ranks? (Journal of machine learning research)
- Time series shapelets: a new primitive for data mining (Knowledge Discovery and Data Mining)
- Searching and Mining Trillions of Time Series Subsequences under Dynamic Time Warping (Knowledge Discovery and Data Mining)
- Earthquake detection through computationally efficient similarity search (Science Advances)
- The Balanced Accuracy and Its Posterior Distribution (International Conference on Pattern Recognition)
Their papers
- The UCR time series archive (2018) — 1,107 citations
- Matrix Profile I: All Pairs Similarity Joins for Time Series: A Unifying View That Includes Motifs, Discords and Shapelets (2016) — 689 citations